Mechanical Arm Calibration Using PSO Trajectory Compensation
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Solution Overview
Problem
Mechanical arms in the automation industry face precision deviations due to mechanical abrasion and maintenance disassembly, necessitating on-site calibration to maintain manufacturing precision and reduce repair transportation time.
Innovation Solution
A mechanical arm calibration system and method utilizing a trajectory tracking device and processing device, which calculates an adaptive motion trajectory through particle swarm optimization (PSO) to update link parameters, improving precision and stability by aligning the mechanical arm's motion with its actual trajectory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mechanical arm operates for a long period, then productivity is maintained, but manufacturing precision deteriorates due to mechanical abrasion and movement deviations
Solution Approach 1:
The patent changes the link parameters of the mechanical arm through particle swarm optimization to compensate for precision deviations caused by long-term operation. The system iteratively adjusts parameters such as link lengths and joint offsets to restore manufacturing precision without requiring physical disassembly or replacement of components.
Solution Approach 2:
The patent replaces physical mechanical adjustment methods with a computational approach using particle swarm optimization algorithms. Instead of manually disassembling and adjusting mechanical components, the system uses software-based parameter optimization to correct precision deviations, reducing maintenance complexity and downtime.
2Reliability
If mechanical arm is disassembled for maintenance, then reliability is improved, but manufacturing precision deteriorates due to precision deviations introduced during reassembly
Solution Approach 1:
The patent replaces physical mechanical adjustment methods with a computational approach using particle swarm optimization algorithms. Instead of manually disassembling and adjusting mechanical components, the system uses software-based parameter optimization to correct precision deviations, reducing maintenance complexity and downtime.
Solution Approach 2:
The patent implements a feedback mechanism where the actual motion trajectory is continuously monitored and compared with the adaptive trajectory. The position errors are fed back into the particle swarm optimization algorithm to iteratively refine the link parameters, ensuring that precision deviations introduced during maintenance are corrected through data-driven adjustments.
3Manufacturing precision
If factory adjustment is performed, then manufacturing precision is improved, but loss of time increases due to transportation to and from factory
Solution Approach 1:
The patent enables the mechanical arm to perform its own calibration on-site using the particle swarm optimization algorithm and trajectory tracking device. The system autonomously identifies and corrects its own precision deviations without requiring external factory resources, eliminating transportation time and enabling immediate calibration during production operations.
Solution Approach 2:
The patent performs calibration adjustments during normal production operations rather than requiring separate factory visits. The particle swarm optimization algorithm continuously refines link parameters based on real-time trajectory data, allowing precision corrections to be made proactively during production downtime or between batches, eliminating the need for time-consuming factory transportation.
4Loss of time
If on-site calibration is implemented, then loss of time is reduced, but device complexity increases due to additional calibration equipment and algorithms
Solution Approach 1:
The trajectory tracking device serves multiple functions: it monitors the actual motion trajectory during normal operation, identifies precision deviations, and provides data for the particle swarm optimization algorithm. This multi-functional approach eliminates the need for separate calibration equipment, reducing overall system complexity while enabling continuous on-site calibration.
Solution Approach 2:
The patent introduces a processing device as an intermediary that coordinates between the trajectory tracking device and the particle swarm optimization algorithm. This centralized processing unit manages the calibration process, handles data processing, and implements parameter updates, simplifying the overall system architecture by providing a single point of control rather than distributed complexity.
Data Source
AI summary
A mechanical arm calibration system and a mechanical arm calibration method are provided. The method includes: locating a position of an end point of a mechanical arm in a three-dimensional space to calculate an actual motion trajectory of the end point when the mechanical arm is operating; retrieving link parameters of the mechanical arm, randomly generating sets of particles including compensation amounts for the link parameters through particle swarm optimization (PSO), importing the compensation amounts of each of the sets of particles into forward kinematics after addition of the corresponding link parameters, to calculate an adaptive motion trajectory of the end point; calculating position errors between the adaptive motion trajectory and the actual motion trajectory of each of the sets of particles for a fitness value of the PSO to estimate a group best position; and updating the link parameters by the compensation amounts corresponding to the group best position.